Mobility State Detection of Cellular-Connected UAVs Based on Handover Count Statistics

Estimating the speed of aerial user equipment (UE) is critically important to provide reliable mobility management for cellular-connected unmanned vehicles (UAVs) since this can enhance quality service. The 3GPP standard uses number handovers made by a UE during predefined time period estimate and state efficiently. In paper, we introduce an approximation probability mass function handover count (HOC) as UAV's height velocity, HOC measurement window, different ground base station (GBS) densities. Afterward, derive Cramer-Rao lower bound (CRLB) UAV also simple biased estimator its based on GBS density period. We show that low parameter, turns into minimum variance unbiased (MVUE). Using estimator, study problem detecting low, medium, or high per specifications. our proposed MVUE, characterize accuracy improvement in estimation detection window increase.